NVIDIA GH200 specifications

CoreWeave NVIDIA GH200: specifications as collected; "Unknown" means the source did not establish the value.
Familygpu
Machine typeVirtual machine
vCPU72
Physical coresUnknown
Memory480 GiB
Architecturearm64
CPU allocationUnknown
GPU1× NVIDIA GH200 · 96 GiB/card
Local storageUnknown
NetworkUnknown
Provider statusActive

Lowest and highest price by billing term

Each row compares one billing term in one currency across the regions that list it. Billing terms and currencies are never mixed or converted, and a stale price is compared only when no fresh one exists.

NVIDIA GH200: cheapest and most expensive region per billing term, native hourly price.
Billing termLowestHighestCompared
On-demandUSD 6.50 / hrEurope price table (no data center stated) and 1 other at this priceSame as lowestSame price in all 2 regions compared2 regions

Every published NVIDIA GH200 price

One table per billing term, cheapest first. Monthly figures follow the provider's billing: a vendor monthly cap is not the hourly price multiplied by 730.

On-demand

2 prices
NVIDIA GH200, On-demand: 2 published prices in USD.
RegionHourlyMonthlyTax and source date
Europe price table (no data center stated)USD 6.50 / hr≈$4,745.00 / mo730-hour estimate, not a capTax treatment not specifiedSource
North America price table (no data center stated)USD 6.50 / hr≈$4,745.00 / mo730-hour estimate, not a capTax treatment not specifiedSource
Source notes for these prices

Every row: The page does not state whether prices include tax. Spot prices and the inference-platform single-GPU price (footnote 2: inference platform customers only) are not published here.

  • Europe price table (no data center stated): CoreWeave lists $6.50 per instance per hour on demand in its "REGION: EUROPE" table. The monthly amount is a 730-hour estimate.
  • North America price table (no data center stated): CoreWeave lists $6.50 per instance per hour on demand in its "REGION: NORTH AMERICA" table. The monthly amount is a 730-hour estimate.

Prices are published in US dollars; no currency conversion is involved.

Similar CoreWeave instance types

Up to 6 other CoreWeave instance types whose vCPU count and memory are both within a factor of two of this one, closest first, GPU or accelerator types only. Equal vCPU and RAM do not mean equal performance.

NVIDIA GH200 beside similar CoreWeave instance types, with each one's lowest on-demand price.
Instance typevCPUMemoryCPULowest on-demand
NVIDIA GH20072480 GiBUnknown · arm64USD 6.50 / hr
NVIDIA GB200 NVL72144960 GiBUnknown · arm64USD 42.00 / hr

Sources and evidence

Official CoreWeave pricing page "On-demand GPU instances" tables, one per region (North America and Europe): on-demand prices per instance per hour, shown with "$" and recorded as USD. The page does not state a tax basis. Monthly amounts are 730-hour estimates. Products listed as "Contact sales" have no published price and are not shown; spot and inference-platform prices are out of scope.

View vendor pricing at CoreWeave ↗ · CoreWeave product page ↗

Data sources for these prices

The original collection sources, for auditing our data. They may contain raw API/JSON data or require authentication; they are not buying pages.

Specification notes
  • CoreWeave pricing page, "On-demand GPU instances": NVIDIA GH200, 1 GPUs, 96 GB VRAM per GPU, 72 vCPUs, 480 GB system RAM, 7.68 TB local storage.
  • GPU and system memory are stored as the page's stated GB figures. The 7.68 TB local storage is not converted, because the page's binary-unit footnote is about CoreWeave Cloud storage and does not say which TB the instance column uses.
  • CPU architecture arm64: CoreWeave's instance docs (https://docs.coreweave.com/platform/instances/gpu/gd-1xgh200.md, reviewed 2026-10-23) list the CPU model "NVIDIA Grace Arm v9 (3.10 GHz)" for 72 vCPUs and 480 GB RAM, and its Grace CPU guide (https://docs.coreweave.com/products/sunk/run_workloads/run-jobs-on-grace-cpu.md) says Grace instances report aarch64 and Intel or AMD instances report x86_64.
  • Shared/dedicated allocation, physical cores, GPU interconnect and network throughput are not stated in the table.

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